Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control

Jongkwang Kim; Jaesu Ko; Janghyeon Lee; Yongkeun Lee

doi:10.1109/CJECE.2017.2682259

Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control

Jongkwang Kim, Jaesu Ko, Janghyeon Lee, Yongkeun Lee

Dept. of Semiconductor Engineering

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

The accuracy for the three-phase induction motor control highly depends on obtaining/estimating the undetectable motor parameter values such as the rotor resistance and flux. An extended Luenberger-sliding mode observer (ELSMO) is proposed in this paper to estimate the rotor flux and resistance along with the adaptation method to compensate for the error caused by the motor parameter mismatch with the model in the controller. The motor parameter mismatch is caused mainly by resistance variation due to changes in the temperature during the operation and must be rectified in real time. The rotor resistance estimation is based on the Lyapunov stability theory and fed back into the ELSMO for more accurate current/flux/resistance estimation.

Original language	English
Article number	8038282
Pages (from-to)	181-188
Number of pages	8
Journal	Canadian Journal of Electrical and Computer Engineering
Volume	40
Issue number	3
DOIs	https://doi.org/10.1109/CJECE.2017.2682259
State	Published - 1 Jun 2017

Keywords

Adaptation
extended Luenberger-sliding mode observer (ELSMO)
induction motor
parameter estimation
rotor flux estimation

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10.1109/CJECE.2017.2682259

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title = "Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control",

abstract = "The accuracy for the three-phase induction motor control highly depends on obtaining/estimating the undetectable motor parameter values such as the rotor resistance and flux. An extended Luenberger-sliding mode observer (ELSMO) is proposed in this paper to estimate the rotor flux and resistance along with the adaptation method to compensate for the error caused by the motor parameter mismatch with the model in the controller. The motor parameter mismatch is caused mainly by resistance variation due to changes in the temperature during the operation and must be rectified in real time. The rotor resistance estimation is based on the Lyapunov stability theory and fed back into the ELSMO for more accurate current/flux/resistance estimation.",

keywords = "Adaptation, extended Luenberger-sliding mode observer (ELSMO), induction motor, parameter estimation, rotor flux estimation",

author = "Jongkwang Kim and Jaesu Ko and Janghyeon Lee and Yongkeun Lee",

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T1 - Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control

AU - Kim, Jongkwang

AU - Ko, Jaesu

AU - Lee, Janghyeon

AU - Lee, Yongkeun

PY - 2017/6/1

Y1 - 2017/6/1

N2 - The accuracy for the three-phase induction motor control highly depends on obtaining/estimating the undetectable motor parameter values such as the rotor resistance and flux. An extended Luenberger-sliding mode observer (ELSMO) is proposed in this paper to estimate the rotor flux and resistance along with the adaptation method to compensate for the error caused by the motor parameter mismatch with the model in the controller. The motor parameter mismatch is caused mainly by resistance variation due to changes in the temperature during the operation and must be rectified in real time. The rotor resistance estimation is based on the Lyapunov stability theory and fed back into the ELSMO for more accurate current/flux/resistance estimation.

AB - The accuracy for the three-phase induction motor control highly depends on obtaining/estimating the undetectable motor parameter values such as the rotor resistance and flux. An extended Luenberger-sliding mode observer (ELSMO) is proposed in this paper to estimate the rotor flux and resistance along with the adaptation method to compensate for the error caused by the motor parameter mismatch with the model in the controller. The motor parameter mismatch is caused mainly by resistance variation due to changes in the temperature during the operation and must be rectified in real time. The rotor resistance estimation is based on the Lyapunov stability theory and fed back into the ELSMO for more accurate current/flux/resistance estimation.

KW - Adaptation

KW - extended Luenberger-sliding mode observer (ELSMO)

KW - induction motor

KW - parameter estimation

KW - rotor flux estimation

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ER -

Rotor Flux and Rotor Resistance Estimation Using Extended Luenberger-Sliding Mode Observer (ELSMO) for Three Phase Induction Motor Control

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Keywords

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